BING GONG's repositories
Computer_vision_lecture_shnu
This repository contains the teaching and exercise materials for the lectures of the 2023-2024 Spring Semester in in Shanghai Normal University
ambs
This is a prototype code for weather forecasting by video prediction methods
maelstrom-yr
A dataset plugin for climetlab for the dataset maelstrom-a1
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
BigDataForPhM
Big Data Analytic for Prognostics and health management
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
WeatherBench
A benchmark dataset for data-driven weather forecasting
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
pde-deep-learning
Learn and concatenate outputs of PDE models using deep learning
metaflow
Build and manage real-life data science projects with ease.
gnes
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
dask-tutorial
Dask tutorial
awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
awesome-readme
A curated list of awesome READMEs
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
models
Models and examples built with TensorFlow
mesh
Mesh TensorFlow: Model Parallelism Made Easier
disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
DRIT
Learning diverse image-to-image translation from unpaired data
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
flask
The Python micro framework for building web applications.
distributed_training
This repository is a tutorial targeting how to train a deep neural network model in a higher efficient way. In this repository, we focus on two main frameworks that are Keras and Tensorflow.